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CodeExp: Explanatory Code Document Generation

Published in arXiv (Cornell University) • Nov 25, 2022
NobleIDNI8P35W03R58S57
Authors:
Haotian Cui
,
Chenglong Wang
,
Junjie Huang

Abstract

Developing models that can automatically generate detailed code explanation can greatly benefit software maintenance and programming education. However, existing code-to-text generation models often produce only high-level summaries of code that do not capture implementation-level choices essential ...

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